Suma Bhat
Impact in
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- Online Learning and Analytics
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Hate Speech and Cyberbullying Detection
- Speech and dialogue systems
- Advanced Text Analysis Techniques
Papers in
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- Natural Language Processing Techniques 35
- Topic Modeling 32
- Text Readability and Simplification 9
- Speech and dialogue systems 6
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- Online Learning and Analytics 10
- Co-authors
- Hongyu Gong (14 shared papers)Wanzheng Zhu (4 shared papers)Michelle Perry (9 shared papers)Pramod Viswanath (8 shared papers)Jianing Zhou (8 shared papers)Su‐Youn Yoon (3 shared papers)Najmuddin Shaik (5 shared papers)Jinjun Xiong (3 shared papers)
- Journals
- Transactions of the Association for Computational Linguistics (2 papers)Speech Communication (2 papers)Solid State Technology (1 paper)Academic Medicine (1 paper)ACM Transactions on Computing Education (1 paper)
- Partner nations
- United StatesBulgariaIndia
In The Last Decade
Suma Bhat
61 papers receiving 584 citations
Peers
Comparison fields: 5 of 71
- Computer Science Applications 129
- Artificial Intelligence 413
- Developmental and Educational Psychology 71
- Health Informatics 6
- Information Systems 93
Countries citing papers authored by Suma Bhat
This map shows the geographic impact of Suma Bhat's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Suma Bhat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suma Bhat more than expected).
Fields of papers citing papers by Suma Bhat
This network shows the impact of papers produced by Suma Bhat. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Suma Bhat. The network helps show where Suma Bhat may publish in the future.
Co-authors
The 25 scholars most cited alongside Suma Bhat, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 39 | |
| 2 | 2018 | 36 | |
| 3 | 2021 | 31 | |
| 4 | 2020 | 28 | |
| 5 | 2014 | 28 | |
| 6 | 2018 | 27 | |
| 7 | 2018 | 24 | |
| 8 | 2009 | 23 | |
| 9 | 2020 | 23 | |
| 10 | Using conversational agents to explain medication instructions to older adults. | 2018 | 23 |
| 11 | 2018 | 22 | |
| 12 | 2007 | 22 | |
| 13 | Seeing the Instructor in Two Video Styles: Preferences and Patterns. | 2015 | 17 |
| 14 | 2021 | 17 | |
| 15 | 2021 | 17 | |
| 16 | Learner Affect through the Looking Glass: Characterization and Detection of Confusion in Online Courses. | 2017 | 16 |
| 17 | Vocabulary Profile as a Measure of Vocabulary Sophistication | 2012 | 16 |
| 18 | 2021 | 15 | |
| 19 | 2019 | 15 | |
| 20 | 2021 | 15 |
About Suma Bhat
Suma Bhat is a scholar working on Artificial Intelligence, Computer Science Applications, Education, Developmental and Educational Psychology and Computer Vision and Pattern Recognition, having authored 66 papers that have together received 644 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (35 papers), Topic Modeling (32 papers), Online Learning and Analytics (10 papers), Text Readability and Simplification (9 papers), Online and Blended Learning (6 papers), Speech and dialogue systems (6 papers), Multimodal Machine Learning Applications (6 papers) and Innovative Teaching and Learning Methods (5 papers). The work is most often cited by research in Computer Science Applications (129 citations), Artificial Intelligence (413 citations), Developmental and Educational Psychology (71 citations), Health Informatics (6 citations) and Information Systems (93 citations). Suma Bhat has collaborated with scholars based in United States, Bulgaria and India. Frequent co-authors include Hongyu Gong, Wanzheng Zhu, Michelle Perry, Pramod Viswanath, Jianing Zhou, Su‐Youn Yoon, Najmuddin Shaik, Jinjun Xiong, Andrew S. Fister and Roxana Gîrju. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Speech Communication, Solid State Technology, Academic Medicine and ACM Transactions on Computing Education.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.